Gene Tsudik

About

Gene Tsudik is a Distinguished Professor of Computer Science at the University of California, Irvine (UCI). He obtained his PhD in Computer Science from USC in 1991. Before joining UCI in 2000, he worked at IBM Zurich Research Laboratory from 1991 to 1996 and at USC/ISI from 1996 to 2000. His research interests include many topics in security, privacy, and applied cryptography. Tsudik is a Fulbright Scholar, a Fulbright Specialist (twice), and a fellow of ACM, IEEE, and AAAS. He is also a foreign member of Academia Europaea. From 2009 to 2015, he served as Editor-in-Chief of ACM Transactions on Information and Systems Security (TISSEC, renamed to TOPS in 2016). He received the 2017 ACM SIGSAC Outstanding Contribution Award. His contributions include authoring the first crypto-poem published as a refereed paper. His research spans a broad range of timely and important topics in security, privacy, and cryptography.

Research topics

• Computer Science
• Embedded system
• Computer Security
• Operating system
• Computer architecture
• Computer hardware
• Distributed computing
• Mathematics
• Programming language
• Software engineering

Selected publications

• SIMPLE: A Remote Attestation Approach for Resource-constrained IoT devices

  2020 · 57 citations

  Senior authorCorresponding

  Remote Attestation (RA) is a security service that detects malware presence on remote IoT devices by verifying their software integrity by a trusted party (verifier). There are three main types of RA: software (SW)-, hardware (HW)-, and hybrid (SW/HW)-based. Hybrid techniques obtain secure RA with minimal hardware requirements imposed on the architectures of existing microcontrollers units (MCUs). In recent years, considerable attention has been devoted to hybrid techniques since prior software-…

  DOI

• SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers

  2025-05-12 · 9 citations

  article

  The adoption of modern encryption protocols such as TLS 1.3 has significantly challenged traditional network traffic classification (NTC) methods. As a consequence, researchers are increasingly turning to machine learning (ML) approaches to overcome these obstacles. This paper analyses ML-based NTC studies by developing a taxonomy of their design choices, benchmarking suites, and prevalent assumptions impacting classifier performance. Through this systematization, we demonstrate widespread relia…

  PublisherDOI

• KESIC: Kerberos Extensions for Smart, IoT and CPS Devices

  2024-07-29 · 3 citations

  articleSenior author

  Secure and efficient multi-user access mechanisms are increasingly important for the growing number of Internet of Things (IoT) devices being used today.Kerberos is a well-known and time-tried security authentication and access control system for distributed systems wherein many users securely access various distributed services. Traditionally, these services are software applications or devices, such as printers. However, Kerberos is not directly suitable for IoT devices due to its relatively h…

  PublisherDOI

• Understanding reCAPTCHAv2 via a Large-Scale Live User Study

  2025-01-01 · 2 citations

  articleOpen accessSenior author

  Since 2003, CAPTCHAS have been widely used as a barrier against bots, while simultaneously annoying great multitudes of users worldwide.As the use of CAPTCHAS grew, techniques to defeat or bypass them kept improving.In response, CAPTCHAS themselves evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots and humans.Given this long-standing and still-ongoing arms race, it is important to investigate usability, solving performance, and user perceptio…

  PublisherDOI

• Congested by the Past: The Dataset Lag in Network Traffic Analysis

  2025-11-05 · 1 citations

  article

  Network traffic analysis (NTA) remains a central research area, underpinning advances in both security and performance optimization. Recent years have seen a surge of machine learning-based approaches for NTA, supported by widely used public datasets, such as ISCX-VPN, ISCX-ToR and USTCTFC. While these benchmarks provide reproducibility, many were collected prior to 2018, thus, fail to reflect contemporary protocols, such as TLS 1.3 and HTTP/3 over QUIC. By reviewing NTA studies published in 202…

  PublisherDOI

Recent grants

• WiFiUS: Collaborative Research: SELIOT: Securing Lifecycle of Internet-of-Things

  NSF · $150k · 2017–2019

• CT-ISG: User-Aided Secure Association of Wireless Devices

  NSF · $300k · 2008–2014

• FIA: Collaborative Research: Named Data Networking (NDN)

  NSF · $703k · 2010–2015

Frequent coauthors

• Emiliano De Cristofaro

  University of California, Riverside

  40 shared

• Paolo Gasti

  New York Institute of Technology

  33 shared

• Ersin Uzun

  Palo Alto Research Center

  31 shared

• Ivan De Oliveira Nunes

  Rochester Institute of Technology

  30 shared

• Norrathep Rattanavipanon

  30 shared

• Mauro Conti

  28 shared

• Cesar Ghali

  Google (United States)

  23 shared

• Claudio Soriente

  21 shared

Awards & honors

• Fulbright Scholar
• Fulbright Specialist (twice)
• Fellow of ACM
• Fellow of IEEE
• Fellow of AAAS

Similar researchers at University of California, Irvine

• Pierre Baldih-121
• Padhraic Smythh-78
• Sven Koenigh-75